Intelligent dynamic flood response and recovery strategy

智能动态洪水响应与恢复策略

• 批准号: 2585153
• 金额: --
• 依托单位: CRANFIELD UNIVERSITY
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2585153
• 关键词: Intelligent; dynamic; flood; response; recovery

iD-FRe2S develops the combined use of Unmanned Aerial Vehicles (UAV) and Artificial Intelligence (AI) to better identify the impacts of flooding (fluvial, pluvial and sewer) and facilitate clean up and recovery. Flood recovery response in urban areas depends on the type of flood (e.g., pluvial, fluvial, groundwater) and the type of water (i.e., clean, grey or black water) affecting the area. In certain areas medium and high intensity rainfall events can cause combined clean and dirty water drainage systems to surcharge and cause contamination of river and flood waters. In addition, high water levels in rivers can cause hydraulic locking of sewage treatment works causing a backup within the associated drainage systems again causing discharges of sewage contaminated water into streets and properties. This contaminated water poses significant risks to human health and requires intensive post event cleaning activities.

iD-FRe 2S开发了无人机（无人机）和人工智能（AI）的结合使用，以更好地识别洪水（河流、洪积和下水道）的影响，并促进清理和恢复。城市地区的洪水恢复响应取决于洪水的类型（例如，洪积、河流、地下水）和水的类型（即，清洁，灰色或黑色的水）影响该地区。在某些地区，中等强度和高强度的降雨事件可能导致清洁和污水排水系统超载，并导致河流和洪水沃茨污染。此外，河流的高水位可能导致污水处理厂的水力锁定，从而导致相关排水系统的备用，再次导致污水污染的水排放到街道和财产中。这些受污染的水对人类健康构成重大风险，需要进行密集的事后清洁活动。